def load_training_settings(training_name): file_path = get_training_settings_file_path(training_name) logging.info(f'Loading annotator settings from "{file_path}"...') text = file_path.read_text() dict_ = yaml_utils.load(text) return Settings.create_from_dict(dict_)
def _load_settings(self): path = classifier_utils.get_settings_file_path(self.clip_type) logging.info('Loading classifier settings from "{}"...'.format(path)) text = path.read_text() d = yaml_utils.load(text) return Settings.create_from_dict(d)
def create_settings_from_dict(self, d): settings = Settings.create_from_dict(d) return Settings(self.defaults, settings)
def _load_settings(self): path = classifier_utils.get_settings_file_path(self._clip_type) text = path.read_text() d = yaml_utils.load(text) return Settings.create_from_dict(d)
def test_create_from_dict(self): contents = os_utils.read_file(_SETTINGS_FILE_PATH) d = yaml_utils.load(contents) settings = Settings.create_from_dict(d) self._check_settings(settings)